Disney Enterprises, Inc.

Eidgenossische Technische Hochschule Zurich

Daniel Sykora

Alexander Sorkine Hornung

Robert Walker Sumner

Gioacchino Noris

Markus Gross

Stelian Coros

Brian Whited

Maryann Simmons

Ariel Shamir

Techniques are presented for controlling the amount of temporal noise in certain animation sequences. Sketchy animation sequences are received in an input in a digital form and used to create an altered version of the same animation with temporal coherence enforced down to the stroke level, resulting in a reduction of the perceived noise. The amount of reduction is variable and can be controlled via a single parameter to achieve a desired artistic effect.

Temporal noise control for sketchy animation

A method is provided for sketch segmentation via smart scribbles, the results of which are especially suitable for interactive real-time graphics editing applications. A vector-based drawing may be segmented into labels based on input scribbles provided by a user. By organizing the labeling as an energy minimization problem, an approximate solution can be found using a sequence of binary graph cuts for an equivalent graph, providing an optimized implementation in a polynomial time suitable for real-time drawing applications. The energy function may include time, proximity, direction, and curvature between strokes as smoothness terms, and proximity, direction, and oriented curvature between strokes and scribbles as data terms. Additionally, the energy function may be modified to provide for user control over locality control, allowing the selection of appropriately sized labeling regions by scribble input speed or scribble input pressure. Once the drawing is labeled, a wide range of drawing applications are enabled.

Smart scribbles for sketch segmentation

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Kalupy nad Vltavou, Czechia

Daniel Sykora